BERSE:一个基于机器学习的专业化搜索引擎
发布时间:2019-05-29 19:25
【摘要】:随着Internet的迅速发展,专业化搜索引擎因其可以准确且快速检索特定用户需要的专题信息而越来越受到广大用户的欢迎。然而,专业化搜索引擎的维护和更新却要费去太多时间。为了克服该问题,我们在搜索引擎中引进机器学习机制,针对基础教育设计并实现了一个基于机器学习的专业化搜索引擎BERSE,其关键技术是只追踪基础教育信息的主题蜘蛛和文本分类器,从而加快信息的检索与更新,并且具有很高的查全率和查准率。
[Abstract]:With the rapid development of Internet, professional search engines are more and more popular with the majority of users because they can accurately and quickly retrieve the thematic information needed by specific users. However, the maintenance and update of professional search engines takes too much time. In order to overcome this problem, we introduce machine learning mechanism into search engine, and design and implement a professional search engine BERSE, based on machine learning for basic education. The key technology is to track only the subject spider and text classifier of basic education information, so as to speed up the retrieval and updating of information, and has a high recall and precision.
【作者单位】: 山东师范大学传播学院 南京师范大学教育技术系 南京师范大学教育技术系
【分类号】:TP181
[Abstract]:With the rapid development of Internet, professional search engines are more and more popular with the majority of users because they can accurately and quickly retrieve the thematic information needed by specific users. However, the maintenance and update of professional search engines takes too much time. In order to overcome this problem, we introduce machine learning mechanism into search engine, and design and implement a professional search engine BERSE, based on machine learning for basic education. The key technology is to track only the subject spider and text classifier of basic education information, so as to speed up the retrieval and updating of information, and has a high recall and precision.
【作者单位】: 山东师范大学传播学院 南京师范大学教育技术系 南京师范大学教育技术系
【分类号】:TP181
【参考文献】
相关期刊论文 前2条
1 张俐,李星,陆大,
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